Ewa Lech‐Marańda
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 60
- Hematology top 2%
- Acute Myeloid Leukemia Research 19
- Chronic Myeloid Leukemia Treatments 14
- Multiple Myeloma Research and Treatments 13
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- Lymphoma Diagnosis and Treatment 41
- Immunology top 5%
- Immunodeficiency and Autoimmune Disorders 8
- Oncology top 10%
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- Acute Lymphoblastic Leukemia research 23
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- Ubiquitin and proteasome pathways 6
- Co-authors
- Tadeusz RobakAnna KoryckaEwa RobakKrzysztof WarzochaAnna WolskaAgata Wrzesień‐KuśPaweł RobakJacques Bienvenu
- Journals
- Blood (21 papers)European Journal Of Haematology (6 papers)Archivum Immunologiae et Therapiae Experimentalis (5 papers)
- Partner nations
- PolandUnited StatesGermany
In The Last Decade
Ewa Lech‐Marańda
113 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 96
- Genetics 511
- Hematology 414
- Pathology and Forensic Medicine 479
- Immunology 437
- Oncology 421
Countries citing papers authored by Ewa Lech‐Marańda
This map shows the geographic impact of Ewa Lech‐Marańda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ewa Lech‐Marańda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Lech‐Marańda more than expected).
Fields of papers citing papers by Ewa Lech‐Marańda
This network shows the impact of papers produced by Ewa Lech‐Marańda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ewa Lech‐Marańda. The network helps show where Ewa Lech‐Marańda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ewa Lech‐Marańda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 6 | |
| 6 | 2019 | 25 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 18 | |
| 11 | 2016 | 30 | |
| 12 | 2015 | 4 | |
| 13 | 2013 | 1 | |
| 14 | 2013 | 3 | |
| 15 | 2012 | 15 | |
| 16 | Diagnosis and treatment of non-Hodgkin lymphomas | 2011 | 1 |
| 17 | Leczenie pierwotnych chłoniaków skóry. Rekomendacje Sekcji Chłoniaków Skóry Polskiej Grupy Badawczej Chłoniaków (PLRG) | 2010 | 2 |
| 18 | 2010 | 3 | |
| 19 | 2008 | 22 | |
| 20 | 2006 | 27 |
About Ewa Lech‐Marańda
Ewa Lech‐Marańda is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 134 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (60 papers), Lymphoma Diagnosis and Treatment (41 papers), Acute Lymphoblastic Leukemia research (23 papers), Acute Myeloid Leukemia Research (19 papers), Chronic Myeloid Leukemia Treatments (14 papers), Multiple Myeloma Research and Treatments (13 papers), Immunodeficiency and Autoimmune Disorders (8 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Genetics (511 citations), Hematology (414 citations) and Pathology and Forensic Medicine (479 citations). Ewa Lech‐Marańda has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Tadeusz Robak, Anna Korycka, Ewa Robak, Krzysztof Warzocha, Anna Wolska, Agata Wrzesień‐Kuś, Paweł Robak, Jacques Bienvenu, Bertrand Coiffier and Gilles Salles. Their work appears in journals such as Blood, European Journal Of Haematology, Archivum Immunologiae et Therapiae Experimentalis, Cancers and Mini-Reviews in Medicinal Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.